To prevent any potential harm, we reiterate that @deepseek_ai is our sole official account on Twitter/X. Any accounts:.- representing us.- using identical avatars.- using similar names.are impersonations. Please stay vigilant to avoid being misled!.

🚀 DeepSeek-R1-0528 is here!. 🔹 Improved benchmark performance.🔹 Enhanced front-end capabilities.🔹 Reduced hallucinations.🔹 Supports JSON output & function calling. ✅ Try it now: 🔌 No change to API usage — docs here: 🔗

🚀 DeepSeek-V3-0324 is out now!. 🔹 Major boost in reasoning performance.🔹 Stronger front-end development skills.🔹 Smarter tool-use capabilities. ✅ For non-complex reasoning tasks, we recommend using V3 — just turn off “DeepThink”.🔌 API usage remains unchanged.📜 Models are

🚀 Day 6 of #OpenSourceWeek: One More Thing – DeepSeek-V3/R1 Inference System Overview. Optimized throughput and latency via:.🔧 Cross-node EP-powered batch scaling.🔄 Computation-communication overlap.⚖️ Load balancing. Statistics of DeepSeek's Online Service:.⚡ 73.7k/14.8k.

🚀 Day 5 of #OpenSourceWeek: 3FS, Thruster for All DeepSeek Data Access. Fire-Flyer File System (3FS) - a parallel file system that utilizes the full bandwidth of modern SSDs and RDMA networks. ⚡ 6.6 TiB/s aggregate read throughput in a 180-node cluster.⚡ 3.66 TiB/min.

🚀 Day 4 of #OpenSourceWeek: Optimized Parallelism Strategies. ✅ DualPipe - a bidirectional pipeline parallelism algorithm for computation-communication overlap in V3/R1 training. 🔗 ✅ EPLB - an expert-parallel load balancer for V3/R1. 🔗.

🚨 Off-Peak Discounts Alert!. Starting today, enjoy off-peak discounts on the DeepSeek API Platform from 16:30–00:30 UTC daily:. 🔹 DeepSeek-V3 at 50% off.🔹 DeepSeek-R1 at a massive 75% off. Maximize your resources smarter — save more during these high-value hours!

🚀 Day 3 of #OpenSourceWeek: DeepGEMM. Introducing DeepGEMM - an FP8 GEMM library that supports both dense and MoE GEMMs, powering V3/R1 training and inference. ⚡ Up to 1350+ FP8 TFLOPS on Hopper GPUs.✅ No heavy dependency, as clean as a tutorial.✅ Fully Just-In-Time compiled.

🚀 Day 2 of #OpenSourceWeek: DeepEP. Excited to introduce DeepEP - the first open-source EP communication library for MoE model training and inference. ✅ Efficient and optimized all-to-all communication.✅ Both intranode and internode support with NVLink and RDMA.✅.

🚀 Day 1 of #OpenSourceWeek: FlashMLA. Honored to share FlashMLA - our efficient MLA decoding kernel for Hopper GPUs, optimized for variable-length sequences and now in production. ✅ BF16 support.✅ Paged KV cache (block size 64).⚡ 3000 GB/s memory-bound & 580 TFLOPS.

🚀 Day 0: Warming up for #OpenSourceWeek! . We're a tiny team @deepseek_ai exploring AGI. Starting next week, we'll be open-sourcing 5 repos, sharing our small but sincere progress with full transparency. These humble building blocks in our online service have been documented,.

🚀 Introducing NSA: A Hardware-Aligned and Natively Trainable Sparse Attention mechanism for ultra-fast long-context training & inference!. Core components of NSA:.• Dynamic hierarchical sparse strategy.• Coarse-grained token compression.• Fine-grained token selection. 💡 With

🎉 Excited to see everyone’s enthusiasm for deploying DeepSeek-R1! Here are our recommended settings for the best experience:. • No system prompt.• Temperature: 0.6.• Official prompts for search & file upload: • Guidelines to mitigate model bypass.

📢 Terminology Correction: DeepSeek-R1’s code and models are released under the MIT License.

🌐 API Access & Pricing. ⚙️ Use DeepSeek-R1 by setting model=deepseek-reasoner.💰 $0.14 / million input tokens (cache hit).💰 $0.55 / million input tokens (cache miss).💰 $2.19 / million output tokens. 📖 API guide: 🐋 5/n

🛠️ DeepSeek-R1: Technical Highlights. 📈 Large-scale RL in post-training.🏆 Significant performance boost with minimal labeled data.🔢 Math, code, and reasoning tasks on par with OpenAI-o1.📄 More details: 🐋 4/n

📜 License Update!. 🔄 DeepSeek-R1 is now MIT licensed for clear open access.🔓 Open for the community to leverage model weights & outputs.🛠️ API outputs can now be used for fine-tuning & distillation. 🐋 3/n.

🔥 Bonus: Open-Source Distilled Models!. 🔬 Distilled from DeepSeek-R1, 6 small models fully open-sourced.📏 32B & 70B models on par with OpenAI-o1-mini.🤝 Empowering the open-source community. 🌍 Pushing the boundaries of **open AI**!. 🐋 2/n

🚀 DeepSeek-R1 is here!. ⚡ Performance on par with OpenAI-o1.📖 Fully open-source model & technical report.🏆 MIT licensed: Distill & commercialize freely!. 🌐 Website & API are live now! Try DeepThink at today!. 🐋 1/n

⚠️ Important Notice:. ✅ 100% FREE - No ads, no in-app purchases.🛡️ Download only from official channels to avoid being misled.📲 Search "DeepSeek" in your app store or visit our website for direct links. 🌟 3/3.